Data Engineer
PayPal (company site, opens in a new tab)2–4 yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted 10h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain scalable batch and streaming data replication pipelines moving high volumes of data across on-prem and cloud systems.
- Ensure data quality, consistency, and reliability through validation, reconciliation, monitoring, and failure recovery without data loss or duplication.
- Collaborate with cross-functional teams to onboard new data sources and targets, tune pipeline performance, and participate in design/code reviews and issue resolution.
Minimum Requirements
- 2–4 years of experience in data engineering or backend software engineering.
- Strong programming skills in Java, Python, or Scala, and strong SQL skills.
- Hands-on experience with distributed data processing and streaming frameworks (e.g., Kafka, Spark, Dataflow).
- Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
Ideal Candidate Profile
- Experience working on data replication platforms or large-scale, high-throughput data pipelines optimizing for latency, throughput, and cost.
- Comfortable handling schema changes, backfills, and operational troubleshooting with ownership of end-to-end data engineering solutions.
- Familiarity with cloud platforms (GCP preferred), relational and NoSQL databases, change data capture (CDC), and data modeling in data-intensive environments.